This cutting-edge solution revolutionizes vehicular accident reporting by leveraging drones and advanced sensor technologies. Our system provides rapid, accurate data collection at accident scenes, enabling faster emergency response and potentially saving lives.

The solution can quickly survey accident scenes to capture critical information including:

• Precise vehicle locations
• Road conditions and environmental factors
• Accident severity assessment
• Real-time data transmission to first responders

• Arduino Uno (R3)
• MPU6050 (Accelerometer and Gyroscope)
• Temperature Sensor (integrated in MPU6050)
• GPS/GSM Module

• Quadcopter Frame
• Pixhawk Flight Controller
• Remote Controller
• EWRF Drone Camera
• GPS Antenna
• Radio Telemetry
• Brushless Motors (4x)
• 40A Brushless ESCs (4x)
• 4 Pairs Quadcopters Multirotor Propellers
• RC Power Distribution Board
• 4S LiPo Battery (5000mAh)
• Smart Balance LiPo Charger

• Arduino Platform: For sensor programming and integration
• Tinker CAD: For circuit simulation and testing
• Microsoft Visual Studio Code: For software development
• Mission Planner: For drone flight planning and simulation
• QGroundControl: For drone calibration and configuration

The system monitors sudden changes in acceleration to detect potential collisions:

if (a.acceleration.x > 0.06) { 
    digitalWrite(4, HIGH);
    digitalWrite(2, LOW); 
    delay(100);
    Serial.print("Accident detect on acceleration : "); 
    Serial.print(a.acceleration.x);                    
    digitalWrite(4, LOW);
    digitalWrite(2, LOW);  
    delay(100);
}

The system detects unusual rotational movements that may indicate rollovers or impacts:

if (g.gyro.y > 0.45) { 
    digitalWrite(4, HIGH);
    digitalWrite(2, LOW); 
    delay(100);
    Serial.print("Accident detect on gyro  : "); 
    Serial.print(g.gyro.y);                    
    digitalWrite(4, LOW);
    digitalWrite(2, LOW);  
    delay(100);
}

The system monitors temperature spikes that could indicate fire or engine damage:

if (temp.temperature > 45) { 
    digitalWrite(4, HIGH);
    digitalWrite(2, LOW); 
    delay(100);
    Serial.print("temperature is HIGH   : "); 
    Serial.print(temp.temperature);                    
    digitalWrite(4, LOW);
    digitalWrite(2, LOW);  
    delay(100);
}

Our system includes a complete web-based monitoring and reporting platform.

• Real-time Detection: Automated alerts sent immediately upon accident detection
• Enhanced Situational Awareness: Drone footage provides responders with visual understanding before arrival
• Optimized Resource Deployment: More accurate accident severity assessment allows for appropriate resource allocation

• Comprehensive Data Collection: Sensor data and aerial imagery provide unprecedented detail
• Objective Evidence: Reduces reliance on witness statements and provides factual documentation
• Temporal Analysis: System captures pre- and post-accident data for thorough investigation

• Potential Life Saving: Reduced response times can significantly impact survival rates
• Insurance Processing: Faster, more accurate claims processing
• Urban Planning: Data can identify accident-prone areas for infrastructure improvements
• Cost Reduction: More efficient emergency services utilization and reduced traffic congestion from accidents

• Integration with traffic management systems
• Machine learning algorithms for predictive accident prevention
• Enhanced computer vision for automated damage assessment
• Integration with emergency services dispatch systems
• Expanded sensor suite for more comprehensive data collection

This project represents a significant advancement in road safety technology, combining IoT sensors, drone capabilities, and cloud computing to create a comprehensive accident detection and reporting system.